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Convergent meshfree approximation schemes of arbitrary order and ...

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100 A. Bompadre et al. / Comput. Methods Appl. Mech. Engrg. 221–222 (2012) 83–103ln(L 2 −error)−8−10−12−14−16HOLMESB−SplineMLSFEM3 : 1ln(H 1 −error)−4−6−8−10HOLMESB−SplineMLSFEM2 : 1−18−12−20−5 −4.5 −4 −3.5 −3 −2.5 −2ln(h)−14−5 −4.5 −4 −3.5 −3 −2.5 −2ln(h)Fig. 16. L 2 - <strong>and</strong> H 1 -error convergence <strong>of</strong> the displacement field <strong>of</strong> an elastic membrane under sine load approximated with different types <strong>of</strong> basis functions: higher <strong>order</strong>max-ent functions (HOLMES), B-splines, moving least squares functions (MLS) <strong>and</strong> Lagrange polynomials (FEM).H 1 -error norms <strong>of</strong> the displacement field. The L 2 - <strong>and</strong> H 1 -errornorms are calculated with respect to the exact analytical solutionsfor plate bending problems found in [30]. We also compute the H 1 -error norm restricted to the boundary <strong>of</strong> the plate domain wherethe boundary conditions are imposed. The convergence <strong>of</strong> theH 1 -error norm restricted to the constrained boundaries assuresthat boundary conditions are imposed correctly using Lagrangemultipliers. The L 2 - <strong>and</strong> H 1 -error norms are computed approximatelyusing 2:5 10 5 uniformly distributed sampling points inthe plate domain.The <strong>order</strong> <strong>of</strong> convergence <strong>of</strong> the error norms computed in theplate examples is reported in Table 6 for two different values <strong>of</strong>c. It is noteworthy that the <strong>order</strong> <strong>of</strong> convergence is consistentlyclose to, or higher than, the theoretical convergence <strong>order</strong> <strong>of</strong> 2for both values <strong>of</strong> c <strong>and</strong> throughout the numerical examples, whichdiffer strongly with respect to loading <strong>and</strong> boundary conditions. Asin the case <strong>of</strong> second-<strong>order</strong> problems, a comparison <strong>of</strong> Table 6 <strong>and</strong>Fig. 13 reveals that the general trends in one dimension carry overto higher dimensions. For reasons <strong>of</strong> brevity, it is not possible to reportthe full convergence plots <strong>and</strong> deformed configurations for allTable 6Convergence rates for different displacement error norms computed in several numerical examples <strong>of</strong> a Kirchh<strong>of</strong>f plate subjected to different loads with different boundaryconditions (the abbreviation SS refers to simply supported boundary conditions). Two different values <strong>of</strong> c are used to compute the HOLMES <strong>approximation</strong> functions.L 2 H 1 H 1 boundaryc ¼ 0:3 c ¼ 0:8 c ¼ 0:3 c ¼ 0:8 c ¼ 0:3 c ¼ 0:8Clamped – concentrated load 2.17 2.41 2.03 2.16 3.44 2.35Clamped – uniform load 2.18 2.45 2.12 2.33 4.10 2.17SS on 2 edges – uniform load 2.26 2.39 2.23 2.36 2.38 2.34SS on 4 edges – concentrated load 2.15 2.32 1.99 1.85 2.27 1.94SS on 4 edges – uniform load 2.13 2.65 2.04 2.31 2.17 2.60SS on 4 edges – sine load 2.14 2.79 2.11 2.49 2.22 2.9710 −2 h10 −3L 2H 1H 1 boundary η = 2.1610 −4η = 2.41Error norms10 −510 −6η = 2.3510 −710 −810 −910 −2 10 −1Fig. 17. Elastic Kirchh<strong>of</strong>f plate clamped on all four edges <strong>and</strong> subjected to a unit centered concentrated load. Convergence <strong>of</strong> the L 2 - <strong>and</strong> H 1 -error norms <strong>of</strong> the displacementfield (left) <strong>and</strong> deformed configuration for the finest nodal distribution (55 55 nodes) used in the convergence analysis (right). The <strong>order</strong> <strong>of</strong> convergence g for each errornorm is also reported.

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